Nonparametric statistical downscaling for the fusion of data of different spatiotemporal support

Wilkie, C.J., Miller, C.A. , Scott, E.M. , O'Donnell, R.A., Hunter, P.D., Spyrakos, E. and Tyler, A.N. (2019) Nonparametric statistical downscaling for the fusion of data of different spatiotemporal support. Environmetrics, 30(3), e2549. (doi:10.1002/env.2549)

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Abstract

Statistical downscaling has been developed for the fusion of data of different spatial support. However, environmental data often have different temporal support, which must also be accounted for. This paper presents a novel method of nonparametric statistical downscaling, which enables the fusion of data of different spatiotemporal support through treating the data at each location as observations of smooth functions over time. This is incorporated within a Bayesian hierarchical model with smoothly spatially varying coefficients, which provides predictions at any location or time, with associated estimates of uncertainty. The method is motivated by an application for the fusion of in situ and satellite remote sensing log(chlorophyll‐a) data from Lake Balaton, in order to improve the understanding of water quality patterns over space and time.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Scott, Professor Marian and O'Donnell, Dr Ruth and Miller, Professor Claire and Wilkie, Dr Craig
Authors: Wilkie, C.J., Miller, C.A., Scott, E.M., O'Donnell, R.A., Hunter, P.D., Spyrakos, E., and Tyler, A.N.
College/School:College of Science and Engineering > School of Mathematics and Statistics > Statistics
Journal Name:Environmetrics
Publisher:Wiley
ISSN:1180-4009
ISSN (Online):1099-095X
Published Online:21 December 2018
Copyright Holders:Copyright © 2018 The Authors
First Published:First published in Environmetrics 30:e2549
Publisher Policy:Reproduced under a Creative Commons License
Data DOI:10.5525/gla.researchdata.651

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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
595861Global Observatory of Lake Responses to Environmental Change (GloboLakes).Claire MillerNatural Environment Research Council (NERC)NE/J022810/1M&S - STATISTICS

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